Integrated remote sensing imagery and two-dimensional hydraulic modeling approach for impact evaluation of flood on crop yields

摘要: Abstract The projected frequent occurrences of extreme flood events will cause significant losses to crops and threaten food security. To reduce the potential risk provide support for agricultural management, prevention, mitigation, it is important account damage crop production understand relationship between characteristics losses. A quantitative effective evaluation tool therefore essential explore what how affect associated loss, based on accurately understanding spatiotemporal dynamics evolution growth. Current methods are generally integrally or qualitatively statistic data ex-post survey with less diagnosis into process historical events. Therefore, a spatial framework presented in this study that integrates remote sensing imagery hydraulic model simulation facilitate identification influence Remote can capture variation yields yield from floods grid scale over large areas; however, incapable providing information regarding progress. Two-dimensional simulate surface runoff accomplish temporal quantification watersheds, i.e., flow velocity duration. methodological developed herein includes following: (a) Vegetation indices critical period growth mid-high association statistics were used develop empirical models monitor evaluate flood; (b) two-dimensional coupled SCS-CN hydrologic was employed process, as rainfall-runoff generator implementing routing scheme runoff; (c) combination be investigate intensity loss extent. modeling applied 50-year return occurred Jilin province, Northeast China, which caused August 2013. results indicated most influential factor spring corn, rice soybean storm event mountainous regions; power function archived best fit velocity-loss integrated approach helpful evaluating investigating